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Assessing environmental fragility in a mining areafor specific spatial planning purposes

–158. BRAGHINĂ, C., TĂLÂNGĂ, C., ZAMFIR, D., CEPOIU, A. L. (2010): Entrepreneurial initiative and regional development. Case study of Gorj County (Romania). Human Geographies-Journal of Studies and Research in Human Geographies, 4(1): 79–88. BRAGHINĂ, C., PEPTENATU, D., DRAGHICI, C., PINTILII, R. D., SCHVAB, A. (2011): Territorial management within the systems affected by mining. Case study the South-Western Development Region in Romania. Iranian Journal of Environmental Health Science & Engineering, 8(4): 343–352. CARVALHO, F. P. (2017), Mining industry and

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Assessment of territorial benefits and efficiency from the construction of motorway and speed train networks: The Czech case

KEELING, D. J. (2008): Transportation geography – new regional mobilities. Progress in Human Geography, 32(2): 275–283. KHADAROO, J., SEETANAH, B. (2008): The role of transport infrastructure in international tourism development: a gravity model approach. Tourism Management, 29(5): 831–840. KORUNKA, C., KUBICEK, B. (2017): Job demands in a changing world of work. Cahm, Springer. KRAFT, S. (2012): A transport classification of settlement centres in the Czech Reepublic using cluster analysis. Moravian Geographical Reports, 20(3): 2–13. KRAFT, S

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Developing a strategy for the protection of traditional agricultural landscapes based on a complex landscape-ecological evaluation (the case of a mountain landscape in Slovakia)

References ANDERSEN, E. et al. (2003): Developing a High Nature Value Farming area indicator. Report to the European Environment Agency, Copenhagen. ANTROP, M. (2005a): Why landscapes of the past are important for the future? Landscape and Urban Planning, Vol. 70, p. 21-34. ANTROP, M. (2005b): From holistic landscape synthesis to transdisciplinary landscape management. In: Tress,B., Tress, G., Fry, G., Opdam, P. [eds.]: From Landscape Research to Landscape Planning: Aspects of Integration, Education and

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Green Marketing and its Use in a Transport Company

References [1] Krizanova, A. et al. (2015). Building a brand in the context of sustainable development. ICMEMI 2015 - International conference on management engineering and management innovation (proceedings), Changsha, China, In: AEBMR-Advances in Economics Business and Management Research 3, 79-84. [2] Chen, E. & Gavious, I. (2015). Does CSR have different value implications for different shareholders? Finance Research Letters, 14, 29-35. DOI: 10.1016/ [3] Prosenak et al. (2008). A

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Monitoring and Improvement of Logistic Processes in Enterprises of the Slovak Republic

Supply Chain Management Definitions . [9] Lin, Z., Yu, Z., & Zhang, L. (2014). Performance outcomes of balanced scorecard application in hospital administration in China. China Economic Review 30. 1-15. [10] Funck, E. (2007). The balanced scorecard equates interests in healthcare organizations. Journal of Accounting and Organizational Change 3. 88-103. [11] Kaplan, R. S., & Norton, D. P. (2017). The Balanced Scorecard-Measures that Drive Performance. Harward Business Review. from

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Evaluation of Transport Processes Quality with Servqual and TUL Methods

References [1] Raspor, S. (2010). Measuring Perceived Service Quality Using SERVQUAL: A Case Study of the Croatian Hotel Industry. Management, 5(3), 195-209. [2] Parasuraman, A., Berry, L.L. & Zeithaml, V.A. (1988). Servqual: A multiple-item scale for measuring customer perceptions of service quality. Journal of Retailing, 64(1), 12-40. [3] Stoma, M. (2012). Modele i metody pomiaru jakości usług. Lublin: Q&R Polska. [4] Yousapronpaiboon, K. (2014). Servqual: Measuring higher education service quality in Thailand. Procedia-Social and

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Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis

REFERENCES Ajinkya, B., Sujaan, M., Harshet, S., & Geetha, I. (2018). Effects of Demonetization on the Real Estate Sector. Pacific Business Review International , 10 (7), 85–94. Arindam, B. (2018). Measuring the efficiency of Indian cement companies utilizing data envelopment analysis during the pre and post-recession period. Serbian Journal of Management , 13 (2), 201–213. Ashima, G., & Gagan, B. (2017). Demonetization Impact on various Sectors. International Journal for Scientific Research

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Supply Chain Simulation in Educational Process

Management Science, 44, (pp. 54-61). DOI: 10.5729/lnms.vol44.54. [13] Chovancova, M., Stopka, O. & Klapita, V. (2017). Modeling the Distribution Network Applying the Principles of Linear Programming. Transport Means – Proceedings of the International Conference. 73-77. [14] Dolinayova, A., Camaj, J. & Kanis, J. (2017). Charging Railway Infrastructure Models and their Impact to Competitiveness of Railway Transport. Transport Problems. 12(1), 139-150. DOI: 10.20858/tp.2017.12.13. [15] Stopka, O., Cerna, L. & Zitricky, V. (2016). Methodology for Measuring

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The Brand Value and its Impact on Sales in Automotive Industry

and behavioural dimensions: measuring brand equity consumer based. Journal of Fashion Marketing and Management, 20(4), 507-519. [4] Tringh, G., Romaniuk, J. & Tanusondjaja, A. (2016). Benchmarking buyer behavior towards new brands, Marketing Letters, 27(4), 743-752. [5] Wang, Y. L. & Tzeng, G. H. (2012). Brand marketing for creating brand value based on a MCDM model combining DEMATEL with ANP and VIKTOR methods. Expert systems with applications, 39(5), 5600-5615. [6] Leek, S. & Christodoulides, G. (2012). A Framework of Brand Value in B2B Markets

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The Consequences of Shadow Economy and Corruption on Tax Revenue Performance in Nigeria

submitted to Department of Economics, Faculty of Commerce, Midlands State University, Gweru, Zimbabwe. 23. Petrescu, I.M., (2016), The Effects of Economic Sanctions on the Informal Economy, Management Dynamics in the Knowledge Economy, 4(4), pp. 623-648. 24. Putnins, T.J. & Sauka, A., (2014), Measuring the Shadow Economy Using Company Managers, Journal of Comparative Economics, Forthcoming, Available at SSRN . 25. Schneider, F., (2010), The influence of public institutions on the shadow economy: An empirical

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